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PODC
2006
ACM
15 years 3 months ago
Computing separable functions via gossip
Motivated by applications to sensor, peer-to-peer, and adhoc networks, we study the problem of computing functions of values at the nodes in a network in a totally distributed man...
Damon Mosk-Aoyama, Devavrat Shah
STOC
1992
ACM
100views Algorithms» more  STOC 1992»
15 years 1 months ago
Biased Random Walks
How much can an imperfect source of randomness affect an algorithm? We examine several simple questions of this type concerning the long-term behavior of a random walk on a finite...
Yossi Azar, Andrei Z. Broder, Anna R. Karlin, Nath...
94
Voted
ECCV
2006
Springer
15 years 11 months ago
A Comparative Study of Energy Minimization Methods for Markov Random Fields
One of the most exciting advances in early vision has been the development of efficient energy minimization algorithms. Many early vision tasks require labeling each pixel with som...
Richard Szeliski, Ramin Zabih, Daniel Scharstein, ...
CIKM
2008
Springer
14 years 11 months ago
Modeling multi-step relevance propagation for expert finding
An expert finding system allows a user to type a simple text query and retrieve names and contact information of individuals that possess the expertise expressed in the query. Thi...
Pavel Serdyukov, Henning Rode, Djoerd Hiemstra
DAGM
2008
Springer
14 years 11 months ago
MAP-Inference for Highly-Connected Graphs with DC-Programming
The design of inference algorithms for discrete-valued Markov Random Fields constitutes an ongoing research topic in computer vision. Large state-spaces, none-submodular energy-fun...
Jörg H. Kappes, Christoph Schnörr